The blue mussel Mytilus edulis as an indicator species for modelling marine connectivity in Scotland

蓝贻贝（Mytilus edulis）作为苏格兰海洋连通性建模的指示物种

• 批准号: 2722147
• 金额: --
• 依托单位: University of Stirling
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2722147
• 关键词: blue; mussel; Mytilus; edulis; indicator

Mussels provide a range of ecosystem services, however populations are declining, with potential stressors including ocean acidification, global warming, and changing predator-prey dynamics. It is crucial to understand the resilience of this key species, its ability to recover and recolonise, and its potential response to these and other threats. This project addresses the resilience of blue mussel at large spatial scales with models capable of representing the population dynamics of the species within locales and also dispersal between locales.Models will be built using a combination of "social" network modelling and metapopulation dynamic approaches. By identifying network features which are at risk or crucial as corridors between patches, targets for focus conservation and surveillance will be identified. These models will address a knowledge gap: Hydrological models typically focus in detail and with high computational complexity on water flow, without addressing long-term population dynamics. We will use outputs from hydrological models to inform our metapopulation model, and parameterise using genetic data and sampling data where available, particularly from related projects.

贻贝提供了一系列生态系统服务，但人口正在下降，潜在的压力包括海洋酸化，全球变暖和不断变化的捕食者-猎物动态。了解这一关键物种的适应能力、恢复和恢复的能力以及对这些和其他威胁的潜在反应至关重要。本项目旨在探讨蓝贻贝在大空间尺度上的复原力，并采用能够代表该物种在区域内的种群动态和区域间扩散的模型。模型将使用“社会”网络模型和集合种群动态方法相结合。通过确定网络功能，是在风险或关键的斑块之间的走廊，重点保护和监测的目标将被确定。这些模型将解决一个知识缺口：水文模型通常侧重于细节，计算复杂性高的水流，而不解决长期的人口动态。我们将使用水文模型的输出来通知我们的集合种群模型，并使用遗传数据和采样数据（特别是相关项目的数据）进行参数化。